基于Web Services的分布式聚类算法设计与研究

istributed clustering is, based on distributed data and computing resources, a kind of clustering analysis for large-scale, distributed data, and an important topic in distributed data mining field. Web Services is an ideal chief technology to resolve the distributed issue. This paper firstly analyzes a classic distributed clustering algorithm named DBDC (Density Based Distributed Clustering) and proposes some improvement. Then it applies Web Services on distributed clustering analysis, and converts the local clustering algorithm and global clustering algorithm into Web Services. Finally, it designs an architecture of distributed clustering analysis based on Web Services.